Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction
Author:
Affiliation:
1. School of Electrical and Information Technology, Anhui University of Science and Technology, Huainan, People’s Republic of China
2. School of Artificial Intelligence, Anhui University of Science and Technology, Huainan, People’s Republic of China
Funder
Natural Science Foundation
Colleges and Universities in Anhui Province
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Human-Computer Interaction,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/09540091.2022.2118675
Reference49 articles.
1. Modeling, state of charge estimation, and charging of lithium‐ion battery in electric vehicle: A review
2. State of Energy Estimation for Lithium-Ion Battery Pack via Prediction in Electric Vehicle Applications
3. Safe transductive support vector machine
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